Influence of lean and fat mass on bone mineral density and on urinary stone risk factors in healthy women

Nouvenne, Antonio; Ticinesi, Andrea; Guerra, Angela; Folesani, Giuseppina; Allegri, Franca; Pinelli, Silvana; Baroni, Paolo; Pedrazzoni, M.; Lippi, Giuseppe; Terranegra, Annalisa; Dogliotti, Elena; Soldati, Laura; Borghi, Loris; Meschi, Tiziana

doi:10.1186/1479-5876-11-248

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…Kim et al ( 12 ) proposed the hypothesis that increased renal inflammation markers may be related to saturated fat intake, podocyte effacement, and elevated proteinuria. Recent studies ( 39 , 40 ) have demonstrated that HFD-treated rats and women with high fat mass index exhibited a spectrum of metabolic abnormalities, the more prominent being dyslipidemia, hyperoxaluria, hypercalciuria, dysproteinuria, low urinary magnesium excretion, loss of bone calcium, and calcium phosphate nephrocalcinosis, results partially shown in the current study. These findings suggest that obesity and fat diet intake may have significantly influence on urine composition in terms of lithogenesis promoters and inhibitors.…”

Section: Discussionsupporting

confidence: 80%

Effect of long-term high-fat diet intake on peripheral insulin sensibility, blood pressure, and renal function in female rats

Roza¹,

Possignolo²,

Palanch³

et al. 2016

Food & Nutrition Research

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BackgroundThis study determines whether 8-week high-fat diet (HFD) consumption alters insulin sensitivity, kidney function, and blood pressure (BP) in female rats when compared with standard rodent diet (ND) intake in gender- and age-matched rats.MethodsThe present study investigates, in female Wistar HanUnib rats, the effect of long-term high-fat fed group (HFD) compared with standard chow on BP by an indirect tail-cuff method using an electrosphygmomanometer, insulin and glucose function, and kidney function by creatinine and lithium clearances.ResultsThe current study shows glucose tolerance impairment, as demonstrated by increased fasting blood glucose (ND: 78±2.8 vs. HFD: 87±3.8 mg/dL) associated with reduced insulin secretion (ND: 0.58±0.07 vs. HFD: 0.40±0.03 ng/mL) in 8-week female HFD-treated rats. The incremental area under the curve (AUC, ND: 1,4558.0±536.0 vs. HFD: 1,6507.8±661.9), homeostasis model assessment of insulin resistance (HOMA-IR) index, and the first-order rate constant for the disappearance of glucose (Kitt) were significantly enhanced in 8-week HFD-treated rats compared with age-matched ND group (respectively, P=0.03, P=0.002, and P<0.0001). The current study also shows a significantly higher systolic BP measured in 5 and 8 weeks posttreatment in HFD (5-week HFD-treated: 155.25±10.54 mmHg and 8-week HFD-treated: 165±5.8 mmHg) (P=0.0001), when compared to BP values in 5-week ND, 137±4.24 mmHg and 8-week ND, 131.75±5.8 mmHg age-matched group. Otherwise, the glomerular filtration rate and renal sodium handling evaluated by FENa, FEPNa and FEPPNa, were unchanged in both groups.ConclusionWe may conclude that 8-week female HFD-fed rats compared with ND group stimulate harmful effects, such as BP rise and peripheral glucose intolerance. The increased BP occurs through insulin resistance and supposedly decreased vasodilatation response without any change on renal function.

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Section: Discussionsupporting

confidence: 80%

Effect of long-term high-fat diet intake on peripheral insulin sensibility, blood pressure, and renal function in female rats

Roza¹,

Possignolo²,

Palanch³

et al. 2016

Food & Nutrition Research

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“…In addition, the data obtained, together with that of Nouvenne et al [16], suggest that the IFM-BMD relationship in women is observed irrespective of their age. Furthermore, comparison of the currentr data with other studies indicate that the body fat-BMD relationship in women, but not in men, is not related to the method of body fat evaluation [18,19].…”

Section: Discussionsupporting

confidence: 62%

“…Inter-and intra-assay coefficients of variation for body fat measurements did not exceed 2%. Fat mass (FM) and lean mass (LM) were further used to calculate ILM and IFM, according to a formula proposed by Nouvenne et al [16]:…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Nouvenne et al [16] introduced new indices of body composition -index of fat mass (IFM) representing subjects with different body fat and similar lean mass, and index of lean mass (ILM) representing subjects with different lean body mass and similar body fat. Until now, both indices have been found to affect BMD in middle-aged premenopausal and menopausal women.…”

Section: Introductionmentioning

confidence: 99%

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Relationships between bone mineral density and new indices of body composition in young, sedentary men and women

Kęska¹,

Lutosławska²,

Bertrandt

2018

Ann Agric Environ Med.

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Introduction. Data concerning the relationship between body fat and BMD are equivocal since both positive and negative effects have been noted. Recently, the index of fat mass (IFM) representing subjects with different body fat and similar lean mass and index of lean mass (ILM) representing subjects with different lean body mass and similar body fat, have been used to evaluate body composition effect on BMD in middle-aged women. This study aimed at determination of ILM and IFM association with BMD in young men and women. Materials and methods. A total of 212 university students of Public Health (125 women and 87 men) participated in the study. Body composition was determined by the bioelectrical impedance method (BIA) using BC 418 MA equipment (Tanita Co., Japan). Fat mass and fat free mass were used to calculate ILM and IFM. Bone mineral density was measured on the wrist of the non-dominant hand using the DEXA method and EXA 3000 equipment (HFS Ltd., Korea). BMD was evaluated using Z-score, with values lower than -2.0 indicating inadequate BMD for subject chronological age. Results. Exclusively in women, IFM was markedly and positively correlated with Z-score (r=0.366, P<0.001). In both genders, a significant relationship was found between ILM and Z-scores (r=0.420; p<0.001 and r=0.220; p<0.02 in men and women, respectively). Women with lower than median IFM but similar ILM, were characterized by significantly lower Z-scores vs. women with higher IFM (-1.016 vs. -0.512; p<0.001). Irrespective of gender, participants with higher ILM but similar IFM, were characterized by markedly higher Z-score vs. their counterparts with low ILM. Conclusions. The use of IFM and ILM in the present study, allowed the observation that in young adults lean body mass was associated with BMD, regardless of gender, while fat mass is significant for bone mineral density only in women.

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“…Unfortunately, we cannot explain this result in our study. Nouvenne et al revealed an increase in urinary phosphorus excretion accompanied by high levels of lean mass 30 . This might explain why the predicted lean mass was negatively related to serum phosphorus in this study.…”

Section: Discussionmentioning

confidence: 98%

Association between Predicted Lean Mass and Abdominal Aortic Calcification in US Adults

Zhang,

Wu,

et al. 2023

Preprint

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Background: The association between different body compositions and artery calcification has been proven in several studies. Evidence is still limited concerning abdominal aortic calcification (AAC) and predicted lean mass. This finding examined the relationship between predicted lean mass and abdominal aortic calcification in the United States (US) adults based on 2013–2014 National Health and Nutrition Examination Survey (NHANES). Methods: Herein, 3077 respondents were selected from NHANES. Outcome variables were AAC score and severe AAC. We applied survey-weighted multiple regression analysis to examine the correlation between predicted lean mass and AAC. The restricted cubic spline was carried out to depict the linear correlation between predicted lean mass and AAC. Furthermore, we used stratification analysis to find if the correlation of predicted lean mass with severe AAC was sustained across various subclasses. Results: Compared to other groups, participants in the first quintile presented higher AAC scores and a higher incidence of severe AAC. The weighted multivariable regression analysis indicated that predicted lean mass showed independent and significant inverse relationships to AAC score and severe AAC (all P<0.05). Restricted cubic splines observed that the correlation between predicted lean mass and AAC score, AAC severe were linear (P for non-linearity >0.05). Relationship between predicted lean mass and severe AAC was still significant in mostsubclasses. Conclusions: Predicted lean mass was correlated with a decreased risk of AAC in US adults.

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Influence of lean and fat mass on bone mineral density and on urinary stone risk factors in healthy women

Cited by 12 publications

References 33 publications

Effect of long-term high-fat diet intake on peripheral insulin sensibility, blood pressure, and renal function in female rats

Effect of long-term high-fat diet intake on peripheral insulin sensibility, blood pressure, and renal function in female rats

Relationships between bone mineral density and new indices of body composition in young, sedentary men and women

Association between Predicted Lean Mass and Abdominal Aortic Calcification in US Adults

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